Module 5 of 5Lesson 2 of 2~22 min
Workshop: your team's AI policy, the exit kit and the application plan
The final workshop brings the whole course together in one short document: your own team's AI policy. A self-assessment rubric helps you check that it covers what matters and that people will understand it. You leave with a reusable kit and an adoption plan for the next 7 and 30 days.
Lesson objective
By the end of this lesson, you will have written your team's AI policy (one to two pages), checked it with a self-assessment grid, and planned its adoption over 7 and 30 days.
Topics covered
- AI policy
- AI acceptable use policy
- AI governance
- exit kit
Where it fits
Transparency and team policy
When must I say I used AI, who approves, and how do I write rules the team will actually follow?
Lessons in this module
- Saying when AI contributed, and who approves, AI Act included
- Workshop: your team's AI policy, the exit kit and the application plan (this lesson)
What you will learn in this module
This lesson is part of the course Use AI at work without exposing your data or your company
- Sort the information in your work into green, amber or red based on its nature (public, internal, personal, sensitive, trade secrets, contractual commitments) and the tool considered.
- Check and configure, for each tool and plan, what happens to your inputs (training, retention, human review, business terms), based on the vendors' dated pages.
- Decide when to disclose the use of AI and who approves an output, placing the AI Act obligations in context (Article 50 transparency, Article 4 AI literacy).
- Write a team AI policy (green, amber, red data, tools and settings, transparency, human approval, incidents, review) and organize its adoption.
Related courses
- AI & ProductivityAdvancedRegular practice: you already use the tools or work on this topic.
Build reliable Claude Skills for your product work
2 hr 30 min
- AI & FundamentalsAll levelsNo prerequisites: accessible to everyone.
Choosing and using AI tools at work
1 hr 40 min
- AI & FundamentalsJuniorSome basics are useful: introductory knowledge of the topic.
Prompting for Product Managers: delegate, describe, verify
2 hr 45 min